The Impact of Flow on Online Consumer Behavior

Sang M. Lee, Liqiang Chen

Journal of Computer Information Systems · 2010 · 122 citations · 33 references

DOIFull text

Open access

Concepts

TL;DR

Previous research acknowledges flow as useful for explaining online consumer behavior, yet little is known about its dimensions and how they influence behavior. The study investigates how flow and its dimensions affect online consumer behavior using a unified model based on the theory of planned behavior. The authors examine the antecedent effects of concentration, enjoyment, time distortion, and telepresence on online consumer behavior. Empirical results show that flow influences online consumer behavior through several latent constructs, extending knowledge of flow’s antecedents and offering new insights into its conceptualization in e‑commerce.

Abstract

Previous research has acknowledged flow as a useful construct for explaining online consumer behavior. However, there is dearth of knowledge about what dimensions of flow and how they actually influence online consumer behavior as flow is difficult to conceptualize and measure. This research examines flow and its effects on online consumer behavior in a unified model which draws upon theory of planned behavior (TPB). The four important dimensions of flow (concentration, enjoyment, time distortion, telepresence) are explored in terms of their antecedent effects on online consumer behavior. Results of this empirical study show that flow influences online consumer behavior through several important latent constructs. Findings of this research not only extend the existing knowledge of flow and its antecedent effects on online consumer behavior but also provide new insights into how flow can be conceptualized and studied in the e-commerce setting.

References

33